meituan-longcat/LARYBench
LARY — A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment LARY is a unified evaluation framework for latent action representations. Given any model that produces latent action representations (LAMs or visual encoders), LARY provides three complementary evaluation pipelines: Pipeline Task get_latent_action Extract latent action representations from videos or image pairs… See the full description on the dataset page: https://huggingface.co/datasets/meituan-longcat/LARYBench.
| Author / organization | meituan-longcat |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 3.9K (as reported by Hugging Face) |
| Likes | 21 |
| Created | 9 April 2026 |
| Last updated at source | 30 April 2026 |
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- 17 Oct 2026 Description: LARY — A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment LARY is a unified evaluation framework for latent action representations. Given any model that produces latent action representations (LAM → LARY — A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment LARY is a unified evaluation framework for latent action representations. Given any model that produces latent action
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